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Gold
One platform for global traditional assets
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Hot
Trade European-style vanilla options
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Introduction to Futures Trading
Learn the basics of futures trading
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Launch
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AI
Gate AI
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AI infrastructure, Gate MCP, Skills, and CLI
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10K+ Skills
From office tasks to trading, the all-in-one skill hub makes AI even more useful.
GateRouter
Smartly choose from 40+ AI models, with 0% extra fees
The nightmare phase before the AI agent goes live has finally been partially managed through tool integration.
Assessing whether an AI agent is “useful” is currently one of the most time-consuming parts of development. Agents may call the correct tools but produce the wrong response format; a single-turn conversation may work normally, but it crashes in multi-turn dialogues. Ultimately, the final answer may seem reasonable, but during the intermediate steps it retrieves the wrong documents.
Developers need to set checkpoints across multiple levels—single steps, complete trajectories, multi-turn conversations, specific tool calls, and more—and each evaluator must go through a process of writing prompts, calibrating with real data, and repeatedly tuning. Starting from scratch often takes several weeks.
LangSmith now provides 30+ ready-made templates, covering five classes